AO-SAKEL: arithmetic optimization-based self-adaptive kernel extreme learning for international trade prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09500-5.pdf
Reference40 articles.
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3. Anastassi ZA, Simos TE (2005) An optimized Runge-Kutta method for the solution of orbital problems. J Comput Appl Math 175(1):1–9. https://doi.org/10.1016/j.cam.2004.06.004
4. Ballings M, Van den Poel D, Hespeels N, Gryp R (2015) Evaluating multiple classifiers for stock price direction prediction. Expert Syst Appl 42(20):7046–7056. https://doi.org/10.1016/j.eswa.2015.05.013
5. Batarseh F, Gopinath M, Nalluru G, Beckman J (2019) Application of machine learning in forecasting international trade trends. arXiv preprint arXiv:1910.03112. https://doi.org/10.48550/arXiv.1910.03112
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